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Qwen3.8 27B Cold Fusion GAIN V1.1 INT4 GPTQ by JC1DA

By JC1DA · 29 downloads
HF Repo ↗ Copy URL

Qwen3.8 27B Cold Fusion GAIN V1.1 INT4 GPTQ is an open-source language model by JC1DA. Features: 27b LLM, VRAM: 19.6GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.3.

  4-bit Base model:quantized:qwen/qwen...   Base model:qwen/qwen3.8-27b   Cold-fusion   Conversational   Endpoints compatible   Gptq   Image-text-to-text   Int4   Mtp   Multimodal   Quantized   Qwen3.8   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow   W4a16
Model Card on HF 🤗: https://huggingface.co/JC1DA/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-INT4-GPTQ 

Qwen3.8 27B Cold Fusion GAIN V1.1 INT4 GPTQ Parameters and Internals

LLM NameQwen3.8 27B Cold Fusion GAIN V1.1 INT4 GPTQ
Repository 🤗https://huggingface.co/JC1DA/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-INT4-GPTQ 
Model Name/mnt/x/Qwen3.8-27B
Base Model(s)  Qwen/Qwen3.8-27B   Qwen/Qwen3.8-27B
Model Size27b
Required VRAM19.6 GB
Updated2026-08-25
MaintainerJC1DA
Model Typeqwen3_5
Model Files  3.5 GB: 1-of-5   4.3 GB: 2-of-5   4.3 GB: 3-of-5   4.3 GB: 4-of-5   3.2 GB: 5-of-5
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.15.1
Tokenizer ClassQwen2TokenizerFast
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than JC1DA/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-INT4-GPTQ.